Livros sobre o tema "Subspaces methods"
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Veja os 42 melhores livros para estudos sobre o assunto "Subspaces methods".
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Demmel, James Weldon. Three methods for refining estimates of invariant subspaces. New York: Courant Institute of Mathematical Sciences, New York University, 1985.
Encontre o texto completo da fonteWatkins, David S. The matrix eigenvalue problem: GR and Krylov subspace methods. Philadelphia: Society for Industrial and Applied Mathematics, 2007.
Encontre o texto completo da fonteMats, Viberg, e Stoica Petre 1949-, eds. Subspace methods. Amsterdam: Elsevier, 1996.
Encontre o texto completo da fonteKatayama, Tohru. Subspace methods for system identification. London: Springer, 2005.
Encontre o texto completo da fonteKatayama, Tohru. Subspace Methods for System Identification. London: Springer London, 2005. http://dx.doi.org/10.1007/1-84628-158-x.
Texto completo da fonteSaad, Y. Krylov subspace methods on supercomputers. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.
Encontre o texto completo da fonteSogabe, Tomohiro. Krylov Subspace Methods for Linear Systems. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8532-4.
Texto completo da fonteHeeger, David J. Subspace methods for recovering rigid motion. Toronto, Ont: University of Toronto, 1990.
Encontre o texto completo da fonteJepson, Allan D. Linear subspace methods for recovering translational direction. Toronto: University of Toronto, Dept. of Computer Science, 1992.
Encontre o texto completo da fonteF, Chan Tony, e Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Encontre o texto completo da fonteF, Chan Tony, e Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Encontre o texto completo da fonteF, Chan Tony, e Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Encontre o texto completo da fonteChen, Yen-Wei, e Lakhmi C. Jain, eds. Subspace Methods for Pattern Recognition in Intelligent Environment. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54851-2.
Texto completo da fonteResearch Institute for Advanced Computer Science (U.S.), ed. Krylov subspace methods for complex non-Hermitian linear systems. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.
Encontre o texto completo da fonteSaad, Y. Overview of Krylov subspace methods with applications to control problems. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.
Encontre o texto completo da fonteAmini, S. Preconditioned Krylov subspace methods for boundary element solution of the Helmholtz equation. Salford: University of Salford Department of Mathematics and Computer Science, 1995.
Encontre o texto completo da fonteUnited States. National Aeronautics and Space Administration., ed. Subspace based signal analysis of partially polarized light reflected by plant canopies. [Washington, DC: National Aeronautics and Space Administration, 1996.
Encontre o texto completo da fonteBranch, Mary Ann. A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1995.
Encontre o texto completo da fonteSidi, Avram. Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Encontre o texto completo da fonteUnited States. National Aeronautics and Space Administration., ed. Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Encontre o texto completo da fonteKatayama, Tohru. Subspace Methods for System Identification. Springer London, Limited, 2010.
Encontre o texto completo da fonteNational Aeronautics and Space Administration (NASA) Staff. Krylov Subspace Methods on Supercomputers. Independently Published, 2018.
Encontre o texto completo da fonteKatayama, Tohru. Subspace Methods for System Identification. Springer London, Limited, 2006.
Encontre o texto completo da fonteLiesen, Jörg, e Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, 2015.
Encontre o texto completo da fonteKrylov Subspace Methods Principles And Analysis. Oxford University Press, 2013.
Encontre o texto completo da fonteLiesen, Jan, Jörg Liesen e Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, 2012.
Encontre o texto completo da fonteLiesen, Jörg, e Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, Incorporated, 2012.
Encontre o texto completo da fonteLukas, Andre. The Oxford Linear Algebra for Scientists. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198844914.001.0001.
Texto completo da fontePreserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Encontre o texto completo da fonteSimoncini, Valeria. Krtlov Subspace Methods for Linear Systems - Tools. Princeton University Press, 2009.
Encontre o texto completo da fonteJain, Lakhmi C., e Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer, 2014.
Encontre o texto completo da fonteJain, Lakhmi C., e Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer London, Limited, 2014.
Encontre o texto completo da fonteJain, Lakhmi C., e Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer, 2016.
Encontre o texto completo da fonteRamakrishnan, S., ed. Face Recognition - Semisupervised Classification, Subspace Projection and Evaluation Methods. InTech, 2016. http://dx.doi.org/10.5772/61471.
Texto completo da fonteSogabe, Tomohiro. Krylov Subspace Methods for Linear Systems: Principles of Algorithms. Springer, 2023.
Encontre o texto completo da fonteFarahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Limited, John, 2020.
Encontre o texto completo da fonteFarahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Limited, John, 2020.
Encontre o texto completo da fonteFarahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Incorporated, John, 2020.
Encontre o texto completo da fonteFarahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Incorporated, John, 2020.
Encontre o texto completo da fonteApplication of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Encontre o texto completo da fonteApplication of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Encontre o texto completo da fonteStarr, Jason, Brendan Hassett, Ravi Vakil e James McKernan. A Celebration of Algebraic Geometry (Clay Mathematics Proceedings). American Mathematical Society, 2013.
Encontre o texto completo da fonte